Library and Information Science

Library and Information Science ISSN: 2435-8495
三田図書館・情報学会 Mita Society for Library and Information Science
〒108‒8345 東京都港区三田2‒15‒45 慶應義塾大学文学部図書館・情報学専攻内 c/o Keio University, 2-15-45 Mita, Minato-ku, Tokyo 108-8345, Japan
https://mslis.jp/ E-mail:mita-slis@ml.keio.jp
Library and Information Science 16: 185-196 (1978)
doi:10.46895/lis.16.185

原著論文Original Article

リモート・センシングに関するシソーラスの作成Compilation of a remote sensing thesaurus

石川島播磨重工業株式会社技術管理部情報担当Technical Development Group, Administrative Office, Technical Administration Department, Ishikawazima Harima Heavy lndustries ◇ 〒135-8710 東京都江東区豊洲三丁目1番1号 ◇ Toyosu 3-1-1, Koto-ku, Tokyo 135-8710, Japan

発行日:1979年3月20日Published: March 20, 1979
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A thesaurus in the fields of “remote sensing” was constructed by following the steps shown in the Documentation-Guidelines for the Establishment and Development of Monolingual Thesauri, published by ISO in 1974.

There have not yet been published so many research papers on this subject of “remote sensing.” However, the subject fields in which this technology is applied are expanding to various areas, such as meteorology, land use, environment, disaster, agriculture, forestry, and hydrology. And there is no published thesaurus that covers all of these fields properly, while the need for building up a data base on the subject is increasing. That was why the compilation of a thesaurus on this subject was attempted.

For selecting the terms to be used as discriptors, Proceedings of the International Symposium on Remote Sensing of Environment, vols. 6–10, 1969–1973, were chosen as the sources. The Proceedings contained 680 papers on the subject. To make a frequency table of appearance of words in these papers, a KWIC index was compiled.

The Remote Sensing Thesaurus thus constructed is not fully completed and has yet many problems to be solved. For instance, the distribution of discriptors to the 13 categories selected for this thesaurus is not well ballanced and some certain categories, such as “Technology,” “Areas,” received quite a number of discriptors, while others, such as “Transportation,” “Roads,” received none.

The selection of category terms and distribution of descriptors may have to be reexamined.

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